Hybrid Intrusion Detection System Using Machine Learning Techniques in Cloud Computing Environments
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In this work, we propose a network based anomaly detection system at the Cloud Hypervisor level that utilizes a hybrid algorithm: a combination of K-means clustering algorithm and SVM classification algorithm, to improve the accuracy of the anomaly detection system.